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Applied Machine Learning Intern Jobs in Fremont, CA

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Director, Applied Machine Learning

San Francisco, CA · On-site

$250 - $350/hr

About the Role As Director of Applied ML, you'll lead the function that sits at the intersection of ... Growth: $2,000 learning stipend, ongoing development * Office: Commuting support, free lunch, and ...

Apple

Sr. Machine Learning Engineer

Santa Clara, CA · On-site

$143K - $189K/yr

As an Applied ML team, we are pushing the boundaries to provide our users with the utmost optimal ... Our team comprises a diverse range of backgrounds, including applied machine learning engineers ...

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All JobsApplied Machine Learning Intern JobsApplied Machine Learning Intern Jobs in Fremont, CA

Applied Machine Learning Intern information

See Fremont, CA salary details

$27.9K

$46.6K

$96.3K

How much do applied machine learning intern jobs pay per year?

As of Aug 7, 2026, the average yearly pay for applied machine learning intern in Fremont, CA is $46,615.00, according to ZipRecruiter salary data. Most workers in this role earn between $35,600.00 and $50,400.00 per year, depending on experience, location, and employer.

What is the difference between Applied Machine Learning Intern vs Data Science Intern?

AspectApplied Machine Learning InternData Science Intern
Required SkillsMachine learning algorithms, programming (Python, R), data analysisStatistical analysis, data visualization, programming (Python, R)
Work EnvironmentDeveloping ML models, experimenting with algorithms, deploying modelsData cleaning, analysis, reporting insights
Industry UsageTech companies, AI startups, research labsBusiness analytics, market research, finance

Applied Machine Learning Interns focus on developing and deploying machine learning models, requiring knowledge of algorithms and programming. Data Science Interns typically handle data analysis, visualization, and reporting. While both roles involve data skills, applied ML interns work more on model implementation, whereas data science interns focus on insights and data interpretation.

What are popular job titles related to Applied Machine Learning Intern jobs in Fremont, CA? For Applied Machine Learning Intern jobs in Fremont, CA, the most frequently searched job titles are:
What job categories do people searching Applied Machine Learning Intern jobs in Fremont, CA look for? The top searched job categories for Applied Machine Learning Intern jobs in Fremont, CA are:
What cities near Fremont, CA are hiring for Applied Machine Learning Intern jobs? Cities near Fremont, CA with the most Applied Machine Learning Intern job openings:
Applied Machine Learning Intern jobs near you
Infographic showing various Applied Machine Learning Intern job openings in Fremont, CA as of July 2026, with employment types broken down into 77% Full Time, 21% Part Time, and 2% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $46,615 per year, or $22.4 per hour.

Machine Learning Intern

Droyd Robotics

San Francisco, CA • On-site

Internship

Re-posted 16 days ago

Job description

About the team
Droyd builds autonomous robotic systems that automate repetitive manual work in real environments. Our robots operate under tight compute, latency, and reliability constraints, so learning systems must work cleanly on real hardware.
Our AI team builds the models and inference systems that let robotic arms see, reason, and act. This work runs on deployed robots, not demos.
About the role
As a Machine Learning Intern at Droyd, you'll work directly on the learning and inference systems that power our robotic arms. You'll train models, run experiments, and help push research into production.
You'll work closely with AI researchers, software engineers, and hardware teams, and contribute to systems that ship to real robots.
This role is based in San Francisco, CA. We're an in-person company. We build faster that way.
In this role, you'll
  • Work across the ML stack, from training to inference
  • Train and evaluate models that run on low-payload robotic systems
  • Run experiments, analyze results, and document findings
  • Learn how model design, data quality, and hardware constraints affect real-world performance
  • Support deployment and testing of models on robotic hardware
We're looking for candidates who
  • Are current juniors or seniors (or equivalent) studying computer science, machine learning, AI, or a related field
  • Have coursework or hands-on experience training ML models using frameworks like PyTorch or JAX
  • Are willing to balance school and work in a fast-moving environment
  • Are curious about robotics and interested in how learning systems behave in the real world
  • Take ownership, ask good questions, and can carry projects forward with guidance
About Droyd
Droyd builds autonomous robotic systems to automate manual work for enterprises. We design the hardware, collect our own data, and train models that operate under real-world constraints.
If we do this right, robots become dependable tools people rely on every day.
Join us and help build systems that ship.

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